I manage a fast pace growing start-up focused on delivering AI services for the retail sector. Our specifications require us to develop, publish and manage many ML models, such as forecast engines, basket analysis algorithms, recommendation systems and so on.
We selected algorithmia as our tool for deploying our ML models. With this we could isolate the work load of publishing ang managing ML models as well as provisioning and infrastructure management. After we implemented algorithmia, our Data Science team was able to focus solely on devising the models and improving accuracy whereas all the job of making it available to customers was carried in the platform.
As a final result we were able to move faster and have our solution deployed in the target schedule. Review collected by and hosted on G2.com.
We use the Algorithmia marketplace. It is not a cheap solution. We tried to implement an intermediate version aiming to reduce costs but we could not find a feasible solution in terms of cost.
Unfortunately we are moving our infrastructure do a Lambda Serverless Architecture in AWS. We know that we will lose much of Algorithmia simplicity but we are being forced to make this shift due to cost restrictions. Review collected by and hosted on G2.com.
